Michael Grauer

981 total citations
14 papers, 261 citations indexed

About

Michael Grauer is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Information Systems and Management. According to data from OpenAlex, Michael Grauer has authored 14 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Industrial and Manufacturing Engineering, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems and Management. Recurrent topics in Michael Grauer's work include Manufacturing Process and Optimization (4 papers), Scientific Computing and Data Management (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Michael Grauer is often cited by papers focused on Manufacturing Process and Optimization (4 papers), Scientific Computing and Data Management (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Michael Grauer collaborates with scholars based in United States, Germany and France. Michael Grauer's co-authors include Christian Steinhäuser, Gerald Seifert, Ronald Jabs, Alexander Grote, Katja Matthias, François Budin, Stefan Passlick, Christian Schäfer, William C. Regli and Brian Helba and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Energy and Buildings.

In The Last Decade

Michael Grauer

13 papers receiving 257 citations

Peers

Michael Grauer
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 59
  • Neurology 54
  • Physiology 49
  • Developmental Neuroscience 46
  • Molecular Biology 44
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Soonwook Kwon South Korea View profile →
Citations per field, relative to Michael Grauer
Michael Grauer · 1×
Citations per year, relative to Michael Grauer
Michael Grauer · 1×

Countries citing papers authored by Michael Grauer

Since Specialization
Citations

This map shows the geographic impact of Michael Grauer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Grauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Grauer more than expected).

Fields of papers citing papers by Michael Grauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Grauer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Grauer. The network helps show where Michael Grauer may publish in the future.

Co-authorship network of co-authors of Michael Grauer

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Grauer. A scholar is included among the top collaborators of Michael Grauer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Grauer. Michael Grauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 48
2 5
3 39
4 2
5 21
6 37
7 17
8 10
9 8
10
Archiving the Semantics of Digital Engineering Artifacts in CIBER-U
1
11 3
12 68
13 1
14
About the Portability of the DIDASS-Package (an IBM Implementation)
1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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